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Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile

Abhishek Dutta (UGent) , Robain De Keyser (UGent) , Yu Zhong (UGent) , Bart Wyns (UGent) , Georges Pinte and Julian Stoev
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Abstract
Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.
Keywords
learning systems, optimal control, feedback, clutches, evolutionary computation, predictive control, robust control

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Citation

Please use this url to cite or link to this publication:

Chicago
Dutta, Abhishek, Robain De Keyser, Yu Zhong, Bart Wyns, Georges Pinte, and Julian Stoev. 2011. “Robust Predictive Control of a Wet-clutch Using Evolutionary Algorithm Optimized Engagement Profile.” In 2011 15th International Conference on System Theory, Control and Computing, ed. Mihael Voicu, 218–223. Piscataway, NJ, USA: IEEE.
APA
Dutta, Abhishek, De Keyser, R., Zhong, Y., Wyns, B., Pinte, G., & Stoev, J. (2011). Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile. In Mihael Voicu (Ed.), 2011 15th International conference on system theory, control and computing (pp. 218–223). Presented at the 2011 15th International conference on System Theory, Control and Computing (ICSTCC 2011), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Dutta A, De Keyser R, Zhong Y, Wyns B, Pinte G, Stoev J. Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile. In: Voicu M, editor. 2011 15th International conference on system theory, control and computing. Piscataway, NJ, USA: IEEE; 2011. p. 218–23.
MLA
Dutta, Abhishek, Robain De Keyser, Yu Zhong, et al. “Robust Predictive Control of a Wet-clutch Using Evolutionary Algorithm Optimized Engagement Profile.” 2011 15th International Conference on System Theory, Control and Computing. Ed. Mihael Voicu. Piscataway, NJ, USA: IEEE, 2011. 218–223. Print.
@inproceedings{1996941,
  abstract     = {Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.},
  author       = {Dutta, Abhishek and De Keyser, Robain and Zhong, Yu and Wyns, Bart and Pinte, Georges and Stoev, Julian},
  booktitle    = {2011 15th International conference on system theory, control and computing},
  editor       = {Voicu, Mihael},
  isbn         = {9781457711732},
  issn         = {2068-0465},
  keyword      = {learning systems,optimal control,feedback,clutches,evolutionary computation,predictive control,robust control},
  language     = {eng},
  location     = {Sinaia, Romania},
  pages        = {218--223},
  publisher    = {IEEE},
  title        = {Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile},
  year         = {2011},
}

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